A nonparametric approach to identifying a subset of forecasters that outperforms the simple average
Constantin Bürgi, Tara M. Sinclair
| Year of publication: |
August 2017
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|---|---|
| Authors: | Bürgi, Constantin ; Sinclair, Tara M. |
| Published in: |
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria. - Berlin : Springer, ISSN 0377-7332, ZDB-ID 519394-1. - Vol. 53.2017, 1, p. 101-115
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| Subject: | Forecast combination | Forecast evaluation | Multiple model comparisons | Real-time data | Survey of professional forecasters | Prognoseverfahren | Forecasting model | Prognose | Forecast | Frühindikator | Leading indicator | Wirtschaftsprognose | Economic forecast | Theorie | Theory | Nichtparametrisches Verfahren | Nonparametric statistics | Statistischer Fehler | Statistical error | Schätzung | Estimation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00181-016-1152-y [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011929556